Do you help researchers using IT tools to further their research goals? Are you involved in research computing and/or data science training? Do you consult with researchers on more effectively doing their research with advanced computing resources? Compute with data?
The Researcher-Facing Track of the People Network brings together people from research computing groups, libraries, research institutes, and other organizations who support researchers in every phase of the research lifecycle. Many of us are also Data- & Systems-Facing, but this track is a community-led opportunity to discuss the practices, perspectives, and experiences of facilitation from any perspective.
Topics include:
Research computing facilitation
Outreach to all disciplines, esp. those under-represented, to aid with research computing resources
Education and training
The art and practice of facilitation
Increasing communications, collaborations, and team-building
Research computing UX and user-facing tech
And more, as determined by our members!
We connect via monthly calls and an email list. We also invite you to review and contribute to the Leading Practices of Facilitation!
Join Us! Fill out our membership form to let us know who you are and what you’re interested in. We’ll add you to this email list and other Tracks that you indicate.
Monthly Calls
Monthly calls are on the second Thursday of the month, 1p ET/ 12p CT/ 11a MT/ 10a PT/ 8a HT. Connection information and links to any materials are distributed via the Researcher-Facing email list.
Upcoming Call(s)
Title:Generative Artificial Intelligence Tools: A Panel Discussion
Speakers:
Anna Alber, Senior Research Scientist, Chapman University Don Lambert, Director of Emerging Technology and AI Services, Information and Technology Services (ITS), University of Michigan
Date: April 11th, 2024
Abstract:
Many of us are grappling with how to implement generative artificial intelligence (AI) tools, services and policies within our institutions for research. For this month’s Researcher-Facing call we are planning a panel discussion to hear how some are designing services to meet research needs while mitigating institutional risk. Please join us to share your experiences with data requirements or regulations needed to safely implement AI Tools for your research communities.
Also, please take a moment to vote on these potential R-F call topics! Thanks for your input.